Computes correlation matrix using Pearsonr

Description

hanaml.PearsonrMatrix is a R wrapper for PAL Multivariate Analysis.

Usage

hanaml.PearsonrMatrix(conn.context, data, cols = NULL)

Arguments

Details

Computes a correlation matrix using Pearson's correlation coefficient.

Value

Pearsonr.matrix : Dataframe Pearson's correlation coefficient between any two data samples(columns). structured as follows:

• ID: type NVARCHAR. The values of this column are the column names from cols.

• Covariance columns:, type DOUBLE, named after the columns in cols.
  The covariance between variables X and Y is in column X, in the row with ID value Y.

Examples

## Not run: 

> df
   X    Y    Z
1  1  2.4  5.1
2  5  3.5  6.2
3  3  8.9  8.3
4 10 -1.4  9.4
5 -4 -3.5 11.5
6 11 32.8 12.6

> output <- hanaml.PearsonrMatrix(conn, data = df)

> output
  ID         X         Y         Z
1  X 1.0000000 0.5927077 0.2119775
2  Y 0.5927077 1.0000000 0.4618840
3  Z 0.2119775 0.4618840 1.0000000


## End(Not run)